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Record W2767223828

Informe sobre la diversitat cultural a la indústria audiovisual canadenca: Una supervisió més significativa

2017· article· ca· W2767223828 on OpenAlexaboutno aff
Emilia Zboralska, Charles Davis, Jeremy Shtern, Vanessa Ciccone

Bibliographic record

VenueQuaderns del CAC · 2017
Typearticle
Languageca
FieldComputer Science
TopicMedia and Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesStandardizationCommissionArtLaw
DOInot available

Abstract

fetched live from OpenAlex

catalaEn resposta a la peticio d’una major diversitat en la representacio mediatica i al lloc de treball, el 2001, la Comissio de Radiotelevisio i Telecomunicacions Canadenca (Canadian Radio-television and Telecommunications Commission, CRTC) va establir mesures per monitoritzar la gestio de la diversitat en els organismes de radiodifusio. Aquest estudi presenta un examen qualitatiu critic dels informes de diversitat proporcionats pels organismes de radiodifusio canadencs des d'aquell moment. La nostra analisi revela que els informes varien significativament pel que fa al format, el contingut, l'amplitud i la profunditat en l'estil de notificacio, la qual cosa tan sols permet una monitoritzacio nominal del compliment de les mesures. Sostenim que cal establir amb urgencia un regim de monitoritzacio mes significatiu. L'analisi demostra la necessitat d'estandarditzacio, mesurabilitat i seguiment, i accentua la importancia d’atendre les realitats de la radiotelevisio durant l'era digital. EnglishResponding to calls for greater diversity in media representation and in the workplace, in 2001 the Canadian Radio-television and Telecommunications Commission (CRTC) instituted measures to monitor broadcasters' diversity management. This paper presents a critical qualitative examination of the diversity reports provided by Canadian broadcasters since then. Our analysis reveals that reports vary significantly in format, content, breadth, and depth of reporting style, permitting only nominal monitoring of compliance. We argue that a more meaningful monitoring regime is urgently required. The analysis demonstrates the need for standardization, measurability, and follow-up, and underscores the importance of addressing the realities of broadcasting in the digital age.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.003
Scholarly communication0.0120.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.336
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueQuaderns del CACSame topicMedia and Digital CommunicationFrench-language works237,207